| Free download WebCab Probability and Stat (J2SE Ed.) 3.6    
 
 
 WebCab Probability and Stat (J2SE Ed.) 3.6 business, math & scientific tools software developed by WebCab Components. The license of this  business, math & scientific tools software is demo, the price is 199.00, you can free download and get a free trial before you buy a license or registration. All WebCab Probability and Stat (J2SE Ed.) 3.6 download links are direct WebCab Probability and Stat (J2SE Ed.) full download from WebCab Components site or their selected mirrors. Offers functionality from Basic Statistics, Discrete Probability, Standard Probability Distributions, Hypothesis Testing, Correlation and Linear Regression. 
 Statistics Module
 The Statistics module incorporates evaluation procedures of standard quantitative measures of centrality (mean) and dispersion of (discrete) numerical sets. This module incorporates weighted averages, geometric mean, Inter-Quartile range, mean and standard deviation, sample variance and the coefficient of variation.
 
 Discrete Probability Module
 The Discrete Probability module encapsulates the foundations of discrete probability and discrete probability distributions. This component includes the addition law, conditional probability, cumulative distribution function, mean and variance of a distribution, expected values, covariance and simplification of expressions involving random variables.
 
 Correlation and Regression Module
 Allows the user to investigate relationships between two variables. These finding can be used to predict one variable from the given values of other variables. We cover linear (Spearman's, t-test, z-transform) and rank (Spearman's, Kendall's) correlation, linear regression and conditional means.
 
 Standard Probability Distributions Module
 This module assists in the development of applications that incorporate the Binomial, Poisson, Normal, Lognormal, Pareto, Uniform, Hypergeometric and Exponential probability distributions. The probability density function, cumulative distribution function and inverse, mean, variance, Skewness and Kurtosis are implemented where appropriate and/or their approximations for each distribution. We also offer methods which randomly generate numbers from a given distribution.
 
 Curve Fitting Module
 The Curve Fitting module offers procedures by which linear and non-linear functions can be fitted in accordance with the least squares approach to a given data set which may or may not exhibit measurement errors. We also include functionality which perfo
 
 Keywords: Java, JavaBeans, Class Libraries, J2SE, JSP, Basic, Statistics, Discrete, Probability, Standard, Probability, Distributions, Hypothesis, Testing, Correlation, Linear, Regression, Demo, Business, Math & Scientific Tools, WebCab Components, WebCab Probability and Stat (J2SE Ed.) Recent Changes: Not Established Install Support: Install and Uninstall Supported Languages: English Additional Requirements: An Operating System running Java 
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